A computational study of a stochastic optimization model for long term hydrothermal scheduling-Reference-Cited by-同舟云学术

A computational study of a stochastic optimization model for long term hydrothermal scheduling

Published:2012-12 Issue:1 Volume:43 Page:1443-1452
ISSN:0142-0615
Container-title:International Journal of Electrical Power & Energy Systems
language:en
Short-container-title:International Journal of Electrical Power & Energy Systems

Author:

Matos Vitor Luiz de,Finardi Erlon Cristian

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference36 articles.

1. Sampling strategies and stopping criteria for stochastic dual dynamic programming: a case study in long-term hydrothermal scheduling;Homem-de-Mello;Energy Syst,2011

2. de Matos VL, Philpott AB, Finardi EC, Guan Z. Solving long-term hydrothermal scheduling problem. 17th power systems computation conference. Stockholm; 2011.

3. Practical aspects in solving the medium-term operation planning problem of hydrothermal power systems by using the progressive hedging method;dos Santos;Int J Electr Power Energy Syst,2009

4. Applying different decomposition schemes using the progressive hedging algorithm to the operation planning problem of a hydrothermal system;Gonçalves;Electr Power Syst Res,2012

5. Comparing stochastic optimization methods to solve the medium-term operation planning problem;Gonçalves;Comput Appl Math,2011

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